Raw LLM Responses

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I sort of disagree. Have you ever programmed with ChatGPT, clearly stating what the functions should do? Its basically writing a header file with good descriptions. That plus the simple development loop of pasting in the error messages produces quite good results, albeit not autonomous. There are some key things missing: - ChatGPT programming IDE interface. - Specialized LLMs for certain parts of the IDE, for example studying memory: suggesting breakpoints & comparing that to observed errors. - Something like Mamba for projects which aren't a few hundred lines of code long. - ChatGPT Agents designated a specific task, reports written by these agents are somehow piped into other agents That's all I see required for creating a robust programming loop for smaller projects, and this doesn't even assume that there will be a predecessor to ChatGPT and other LLMs.
youtube AI Jobs 2024-01-17T13:0…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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